The Health Equity Explorer: An open-source resource for distributed health equity visualization and research across common data models.
| Autor: | Adams WG; Department of Pediatrics, Boston Medical Center, Boston, MA, USA.; Boston University Clinical and Translational Science Institute, Chobanian & Avedisian School of Medicine, Boston, MA, USA., Gasman S; Department of Pediatrics, Boston Medical Center, Boston, MA, USA., Beccia AL; Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA, USA., Fuentes L; Health Equity Accelerator, Boston Medical Center, Boston, MA, USA. |
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| Jazyk: | angličtina |
| Zdroj: | Journal of clinical and translational science [J Clin Transl Sci] 2024 Apr 05; Vol. 8 (1), pp. e72. Date of Electronic Publication: 2024 Apr 05 (Print Publication: 2024). |
| DOI: | 10.1017/cts.2024.500 |
| Abstrakt: | Introduction: There is an urgent need to address pervasive inequities in health and healthcare in the USA. Many areas of health inequity are well known, but there remain important unexplored areas, and for many populations in the USA, accessing data to visualize and monitor health equity is difficult. Methods: We describe the development and evaluation of an open-source, R-Shiny application, the "Health Equity Explorer (H2E)," designed to enable users to explore health equity data in a way that can be easily shared within and across common data models (CDMs). Results: We have developed a novel, scalable informatics tool to explore a wide variety of drivers of health, including patient-reported Social Determinants of Health (SDoH), using data in an OMOP CDM research data repository in a way that can be easily shared. We describe our development process, data schema, potential use cases, and pilot data for 705,686 people who attended our health system at least once since 2016. For this group, 996,382 unique observations for questions related to food and housing security were available for 324,630 patients (at least one answer for all 46% of patients) with 65,152 (20.1% of patients with at least one visit and answer) reporting food or housing insecurity at least once. Conclusions: H2E can be used to support dynamic and interactive explorations that include rich social and environmental data. The tool can support multiple CDMs and has the potential to support distributed health equity research and intervention on a national scale. Competing Interests: None. (© The Author(s) 2024.) |
| Databáze: | MEDLINE |
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